Report summary

The 2021-2023 picture for Massachusetts Institute of Technology Department of Chemical Engineering is a 60-PI network with 57 internal PI collaborations. The main research signal is Engineering as the leading field (27% of slots across 34 PIs; 34 labels), Biomedical Engineering as the leading subfield (12% of slots across 18 PIs; 18 labels), and Advancements in Battery Materials as the leading topic (3% of slots across 6 PIs; 6 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are Heather J. Kulik (47.3 weighted works; Machine Learning in Materials Science, Computational Drug Discovery Methods). The clearest collaboration lines are Richard D. Braatz and Moo Sun Hong (15 shared works, weight 10.5). The leading breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 38.4, around Electrical and Electronic Engineering, Mechanical Engineering, Automotive Engineering, led by Richard D. Braatz, Martin Z. Bazant, Betar M. Gallant.